MetaTOR: A Computational Pipeline to Recover High-Quality Metagenomic Bins From Mammalian Gut Proximity-Ligation (meta3C) Libraries.

Characterizing the complete genomic structure of complex microbial communities would represent a key step toward the understanding of their diversity, dynamics, and evolution. Current metagenomics approaches aiming at this goal are typically done by analyzing millions of short DNA sequences directly extracted from the environment. New experimental and computational approaches are constantly sought for to improve the analysis and interpretation of such data.

Generation of a Metagenomics Proximity Ligation 3C Library of a Mammalian Gut Microbiota.

Microbial species thrive in very diverse environments and play fundamental roles in their equilibrium and dynamics. Metagenomics consists in extracting, sequencing, and studying the DNA present in ecosystems to better understand their regulation. Ideally, the maximal amount of information would be gathered from the full sequences of the genomes, episomes, and phages present in the microbial communities.